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T. Grant Belgard

Publications and source records attributed to T. Grant Belgard.

2 recordsLinked to original sources

Elevated gene expression of most microglial markers, and reduced expression of most pyramidal neuron and interneuron markers, in postmortem autism cortex

Autism Spectrum Disorders (ASD) are clinically and genetically heterogeneous. Nevertheless, a characteristic gene expression signature in postmortem cortex is shared across most ASD cases. Knowing whether this signature reflects changes in cells of particular types would help to determine the molecular, cellular, and anatomical etiology of ASD. To investigate we took advantage of cell type marker genes defined by recent single cell transcriptome sequencing from mouse or human cortex. We find that microglial markers showed significantly and substantially higher median expression in postmortem ASD than in control cortex for both mouse and human markers (21% higher for orthologous markers defined in mouse; 93% higher for human markers). In contrast, neuronal markers showed reduced median expression: 12% and 16% lower for mouse interneurons and pyramidal neurons, 40% lower for human neurons, and 36% lower for a class of human excitatory projection neurons. Cell type density alterations in ASD brains are indicated because distributions of these cell type markers are shifted concordantly. Importantly, orthologous mouse neuronal marker genes encoding proteins localized to diverse neuronal compartments all showed reduced median expression in ASD. Our results provide a framework for revealing the basis of transcriptomic differences in ASD. We propose comparing cell type density alterations in post-mortem tissue with and without these distinctive gene expression changes to reconcile results from stereological and transcriptomic studies.

Neuroscience

Correspondence between resting state activity and brain gene expression

The relationship between functional brain activity and gene expression has not been fully explored in the human brain. Here, we identify significant correlations between gene expression in the brain and functional activity by comparing fractional Amplitude of Low Frequency Fluctuations (fALFF) from two independent human fMRI resting state datasets to regional cortical gene expression from a newly generated RNA-seq dataset and two additional gene expression datasets to obtain robust and reproducible correlations. We find significantly more genes correlated with fALFF than expected by chance, and identify specific genes correlated with the imaging signals in multiple expression datasets in the default mode network. Together, these data support a population-level relationship between regional steady state brain gene expression and resting state brain activity.\n\nHIGHLIGHTSO_LIGene expression is correlated with resting state activity in human brain.\nC_LIO_LISpecific genes are correlated with activity in the default mode network.\nC_LIO_LIActivity-correlated genes are enriched in neurons.\nC_LIO_LIRegionally-patterned gene expression is enriched for activity-correlated genes.\nC_LI

Neuroscience